MixfMRI: Mixture fMRI Clustering Analysis

Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2018, manuscript)) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.

Version: 0.1-0
Depends: R (≥ 3.4.0)
Imports: MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster
Enhances: pbdMPI (≥ 0.3-4), AnalyzeFMRI, oro.nifti
Published: 2018-04-26
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [ctb]
Maintainer: Wei-Chen Chen <wccsnow at gmail.com>
BugReports: https://github.com/snoweye/MixfMRI/issues
License: Mozilla Public License 2.0
URL: https://github.com/snoweye/MixfMRI
NeedsCompilation: yes
Citation: MixfMRI citation info
Materials: README ChangeLog INSTALL
CRAN checks: MixfMRI results


Reference manual: MixfMRI.pdf
Vignettes: MixfMRI-guide
Package source: MixfMRI_0.1-0.tar.gz
Windows binaries: r-devel: MixfMRI_0.1-0.zip, r-release: MixfMRI_0.1-0.zip, r-oldrel: MixfMRI_0.1-0.zip
OS X binaries: r-release: MixfMRI_0.1-0.tgz, r-oldrel: MixfMRI_0.1-0.tgz


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